@InProceedings{englert:nonstop,
  author = {Susanne Englert and Jim Gray and Terrye Kocher and Praful Shah},
  title = {A Benchmark of {NonStop SQL Release 2} Demonstrating Near-linear
  Speedup and Scaleup on Large Databases},
  booktitle = {Proceedings of the 1990 ACM SIGMETRICS Conference on Measurement
  and Modeling of Computer Systems},
  year = {1990},
  month = {May},
  pages = {245--246},
  keywords = {parallel database, parallel architecture, parallel I/O,
  pario-bib},
  abstract = {NonStop SQL is an implementation of ANSI/ISO SQL on Tandem
  Computer Systems. In its second release, NonStop SQL transparently and
  automatically implements parallelism within an SQL statement by exploiting
  Tandem's multiprocessor architecture. For basic queries on a uniform
  database, it achieves performance that is near-linear with respect to the
  number of processors and disks used. The authors describe benchmarks
  demonstrating these results and the technology used to achieve them.},
  comment = {They (briefly) describe the Tandem NonStop system, including their
  disk nodes (which contain CPU, memory, and disk) and their use. A query
  involves sending a request to all the disk nodes, who independently read the
  appropriate data from their local disk, filter out all the interesting
  records, and send only those interesting records to the originator for
  processing. This is an early example of smart (programmable) I/O nodes.}
}